Human Resource Development International

For full information on this Special Issue, please see:

LinkedIn: https://www.linkedin.com/posts/human-resource-development-international-085323220_special-issue-call-for-papers-contemporary-activity-7150552022801424385-6bkc?utm_source=share&utm_medium=member_desktop

Twitter: https://twitter.com/HrdiHuman/status/1744786546727833697

The special issue aims to contribute to the field of HRD by seeking quantitative studies that employ innovative and/or rigorous designs and methods for anchoring international HRD research (e.g., cross-cultural). Our primary focus is on soliciting studies that involve comparisons, partnerships across different countries, or dealing with expatriate/cross-cultural contexts. We are considering submissions also that are robust quantitative studies that use data collected from organizations/work populations outside of the U.S.

We are open to both methodological commentary articles demonstrating use of certain methodologies through analysis of example data sets and also empirical articles using the certain methodologies we have listed in our Call with a commentary on the pros and cons. For those articles that present original empirical studies as exemplars of best practices, the author(s) are expected to engage in an in-depth discussion about the methods they used in their research.

We welcome submissions that address, though are not limited to, the following three overarching themes:

Theme 1: Innovative Quantitative Methods to International HRD Research

How can innovative methods initiate new research ideas in the international HRD literature? What new research questions can be addressed by using these new methods? For example:

o   Social network analysis

o   Geospatial data analysis

o   Computational data analysis

How can natural language processing be used for international HRD research (e.g., conducting semi-automated systematic literature reviews, assessing semantics, analyzing responses to open-ended survey questions, and structured topic modeling of interview data)?

How can artificial intelligence be used to support the survey translation process in international studies?

How can Item Response Theory (IRT) be used in the context of international HRD?

How can Bayesian Analysis contribute to international HRD research?

Theme 2: Panel/Longitudinal Data Analysis for International HRD Research

What are innovative methods to analyze panel/longitudinal data? For example:

o   Static and Dynamic Panel Data Models

o   Nonlinear Panel Data Models

o   Growth Models

o   Profile Analysis

o   Longitudinal Mediation

o   Planned Missing Data Designs (e.g., multi-form, longitudinal wave-missing, two-method measurement)

What are advanced statistical techniques to test key assumptions of panel/longitudinal data analysis?

What are the best practices for analyzing panel/longitudinal data?

Theme 3: Research Design Advances for Facilitating Causal Inferences in International HRD Research

Regression Discontinuity Designs

Matching and Propensity Score Designs

Comparative Interrupted Time-Series Designs

• February 29, 2024—Interested authors should submit an Abstract of roughly 500 words to Thomas Reio [email protected], Sangok Yoo [email protected], and Kim Nimon [email protected]
• March 31, 2024—Guest Editors will review Abstracts and make decision.
• June 30, 2024—Complete Paper Submission due to HRDI. All submissions must be submitted through https://www.tandfonline.com/journals/rhrd20. Select Special Issue option in the submission management system.
• August 31, 2024—Guest editors will review, notify authors, and provide feedback.
• October 31, 2024—Resubmit the revised articles.
• December 31, 2024—Guest Editors will review, notify authors, and provide feedback.
• February 28, 2025—Resubmit the revised articles.
• March 31, 2025—Guest Editors will make final decisions.
• April 30, 2025—Issue finalized. All contributions must have a specific international perspective and be linked specifically to the field of HRD.

For questions, please contact: Dr. Thomas Reio ([email protected]); Dr. Sangok Yoo ([email protected]); Dr. Kim Nimon ([email protected]).

Instructions for AuthorsSubmit an Article